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UPQC harmonic current detection method based on ultra-short feedback predictive PI control strategy

https://doi.org/10.1109/icemi.2015.7494190
0 signed · 9 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1049/iet-gtd.2013.0636openalex-snapshot
Improvement of unified power quality conditioner performance with enhanced resonant control strategy
inferredcites →https://doi.org/10.1049/iet-pel.2012.0297openalex-snapshot
Control and design of a current source united power quality conditioner with fault current limiting ability
inferredcites →https://doi.org/10.1109/ciced.2014.6991980openalex-snapshot
Study on harmonic current detection method for single-phase PV inverter
inferredcites →https://doi.org/10.1109/tie.2014.2314055openalex-snapshot
A Simplified Control Technique for a Dual Unified Power Quality Conditioner
inferredcites →https://doi.org/10.1109/tpel.2011.2172001openalex-snapshot
Enhancing Electric Power Quality Using UPQC: A Comprehensive Overview
inferredcites →https://doi.org/10.4028/www.scientific.net/amm.392.759openalex-snapshot
A Harmonic Detecting Scheme Based on BP Neural Network

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4617585openalex-extracted
High-Precision Real-Time Flow Prediction in a Multi-Tributary River System: A Novel Bio-Inspired Neural Network Model
inferred← citeshttps://doi.org/10.1007/s10586-016-0704-4openalex-snapshot
UPQC voltage sag detection based on chaotic immune gentic algorithm
inferred← citeshttps://doi.org/10.1007/s41748-025-00594-2openalex-snapshot
High-Precision Real-Time Flow Prediction in a Multi-tributary River System: A Bio-inspired Dynamic Neural Network Model
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